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Arbaz Boltx\

Arbaz Boltx\

Agentic AI Engineer

Talent
LahoreMember since October 14, 2026
LoRAQLoRAPEFTQwenLlamaDeepSeek4/8-bit quantizationCUDA optimizationLangChainLangGraphLangSmithLangfuseMCPtool-callingRAGn8nZapierDeepgramCartesiaWhisperDjangoDRFJWTOAuthwebhooksNext.js 15RunPodHetznerinference serving
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LoRAQLoRAPEFTQwenLlama

About

Agentic AI engineer with 4 years of experience building autonomous agent loops, fine-tuning open-weight LLMs (Qwen, Llama, DeepSeek) with LoRA/QLoRA/PEFT and 4/8-bit quantization, and serving them on self-hosted GPUs. Ships low-latency voice agents, tool-calling and RAG systems (LangGraph, MCP) and multi-tenant SaaS on Django/DRF.

Experience

AI Instructor (Part-time) at PNY Trainings (2026-09 – Present)

  • Teach weekend courses on n8n, Zapier, LangChain, LangGraph, LangSmith and Langfuse, with a focus on foundational AI understanding.

AI Engineer at IPS USA (IPS BPO) (2026-06 – Present)

  • Built a MIPS RAG system for medical billing: fine-tuned DeepSeek R1 with PEFT, ran it locally, and exposed a JSON-in, structured-JSON-out script.
  • Built a QA call evaluation portal: Deepgram speech-to-text with an NVIDIA Parakeet 0.6B fallback and a local Qwen 7B model as the LLM.
  • Fine-tuned a model with PEFT for Truckverse and am deploying it end to end on GPUs via RunPod.
  • Building a multi-tenant CRM SaaS (Django/DRF, Next.js 15, LangGraph, PostgreSQL tenant isolation) and an agentic plan take-off system that generates Excel take-offs from drawings.

Senior Voice Engineer (Freelance) at Goldman World Logistics (2026-05 – 2026-08)

  • Evaluated open-source voice stacks (Dograh, Whisper, Cartesia SDK, NVIDIA Nemotron, Kyutai Unmute) and patched voice agents for concurrency.
  • Built a car-transport dispatch voice agent that calls customers, pulls quotes from the Super Dispatch API, books on the call, and transfers to a human agent.

AI Engineer (Freelance) at Turing (2026-01 – 2026-07)

  • Trained Cursor's Composer model for frontier AI labs, including fine-tuning Composer 2.5 for domain-specific tasks.
  • Built image and coding evaluation pipelines benchmarked against human-graded rubrics to catch regressions before release.
  • Applied CUDA optimization and 4-bit quantization to cut GPU inference cost across coding and voice agents.

Django Developer (Contract) at Devsecmlops (2024-02 – 2025-09)

  • Built Letshab, a voice agent platform: Django/DRF backend with tool-calling so live calls trigger database writes, calendar bookings and CRM updates.
  • Owned the multi-tenant auth system (JWT) and integrated 6 CRM systems via webhooks and OAuth.
  • Handled model training, quantization and inference serving; tuned concurrency and throughput for production call volumes.

Education

BSc in Business (2026)

Associate in Computer Science – APS

Skills

Agentic AI Engineer

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